Senior AI Scientist, Mid-Market Intelligence

Intuit

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$180,000–$243,500 / yr
Posted
13 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $212k
$117k $257k
below market most similar roles pay here above market

This role pays more than 73% of similar roles. Most pay $151,981–$214,125 — the blue band above. At the midpoint, this role pays about $212k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 219 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 198 roles with salary data.

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At a glance

TL;DR · Senior AI Scientist, Mid-Market Intelligence

The Senior AI Scientist - Mid-Market Intelligence joins the Mid-Market Intelligence team to build an AI-native ERP. This role involves developing, evaluating, and deploying AI systems that utilize large language models, agentic architectures, and classical machine learning to automate processes and improve decision-making for mid-market businesses. Key responsibilities include performing hands-on data analysis on large business datasets, conducting ETL, and designing rigorous evaluation frameworks featuring offline evals and LLM-as-judge approaches. You will use Python, PyTorch, scikit-learn, SQL, Hive, and SparkSQL to implement RAG, prompt engineering, fine-tuning, and multi-agent architectures. The work focuses on creating intelligent systems that capture data signals and provide proactive issue prevention by combining generative AI with supervised and unsupervised learning techniques to solve complex operational problems.

What you'll do

  • Apply LLMs, multi-agent architectures, RAG, and fine-tuning to create AI-native product experiences.
  • Perform hands-on data analysis and modeling on large-scale financial and operational datasets.
  • Build intelligent systems that combine generative AI with classical machine learning to automate processes.
  • Design and build rigorous evaluation frameworks including offline evals, golden datasets, and safety guardrails.
  • Execute end-to-end ETL processes to discover, import, clean, and prepare data for modeling.
  • Develop features, context, and retrieval strategies based on ERP subject matter expertise.
  • Run A/B tests and online experiments to perform statistical analysis on model optimizations.
  • Research new AI technologies to determine their viability for specific customer benefits.

What we're looking for

  • BS, MS, or PhD in an appropriate technology field such as Computer Science, Statistics, Applied Math, or Operations Research.
  • 3+ years of industry experience with AI science, spanning both classical machine learning and Generative AI.
  • Hands-on development and production rollout of LLM-powered or agentic experiences (preferred).
  • Experience with LLM APIs, orchestration frameworks, prompt engineering, RAG, vector search, fine-tuning, and evaluation frameworks.
  • 3+ years of experience in modern advanced analytical tools and programming languages such as Python (scikit-learn, PyTorch, or similar).
  • Experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, and anomaly detection.
  • Experience with large-scale data processing (e.g., Spark/PySpark) (preferred).
  • Proficiency in SQL, Hive, or SparkSQL, and comfort in a Linux environment.

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